Using big data to find better treatments for peripheral artery disease in patients with chronic kidney disease
Harnessing Big Data to Identify Effective Peripheral Artery Disease Treatments in Chronic Kidney Disease
This study is looking at how we can use large amounts of health data to find better treatments for people with peripheral artery disease (PAD) who also have chronic kidney disease (CKD), aiming to improve their care and reduce risks like amputation.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Stanford University NIH-funded |
| Lab location | 1 site (Stanford, United States) |
| Project ID | NIH-11045010 on NIH RePORTER |
What this research studies
This research investigates how big data can be utilized to identify effective treatments for peripheral artery disease (PAD) in patients who also have chronic kidney disease (CKD). It aims to analyze a vast database of health records to understand the unique challenges faced by CKD patients with PAD, who are often at a higher risk for complications like amputation. By developing innovative algorithms, the research seeks to improve the identification and treatment of PAD in this vulnerable population, ultimately enhancing patient care. The study will also explore the use of natural language processing to better extract relevant health information from electronic health records.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with both peripheral artery disease and chronic kidney disease.
Not a fit: Patients without chronic kidney disease or those who do not have peripheral artery disease may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved treatment options and outcomes for patients suffering from both peripheral artery disease and chronic kidney disease.
How similar studies have performed: Other research has shown promise in using big data analytics for improving treatment strategies in chronic diseases, indicating potential success for this approach.
Where this research is happening
Stanford, United States
- Stanford University — Stanford, United States (Active)
Researchers
- Principal investigator: Chang, Tara I-Hsin — Stanford University
- Study coordinator: Chang, Tara I-Hsin
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.